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Direction of Arrival Estimation in Elliptical Models via Sparse Penalized Likelihood Approach

In this paper, an [Formula: see text]-penalized maximum likelihood (ML) approach is developed for estimating the directions of arrival (DOAs) of source signals from the complex elliptically symmetric (CES) array outputs. This approach employs the [Formula: see text]-norm penalty to exploit the spars...

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Detalhes bibliográficos
Publicado no:Sensors (Basel)
Main Authors: Chen, Chen, Zhou, Jie, Tang, Mengjiao
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6566714/
https://ncbi.nlm.nih.gov/pubmed/31121894
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19102356
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